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math-modeling-skills

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43GitHub TrendingGeneralby Lupynow

数学建模竞赛完整工具链：从拿到赛题到交出论文，一条龙解决。 覆盖 国赛 CUMCM（A/B/C） 和 美赛 MCM/ICM（A-F） 全部题型。

First seen 5/24/2026

Summary

This skill provides a complete toolchain for mathematical modeling competitions, covering problem analysis, model selection, algorithm implementation, and paper writing.

  • It supports all problem types in both CUMCM (A/B/C) and MCM/ICM (A-F), helping developers efficiently tackle modeling tasks from start to finish.

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file
mkdir -p .claude/skills && curl -o .claude/skills/math-modeling-skills.md https://raw.githubusercontent.com/Lupynow/math-modeling-skills/main/SKILL.md
3
Invoke in Claude Code
/math-modeling-skills

Use Cases

Analyze a competition problem statement and identify the core mathematical modeling requirements.
Select appropriate models (e.g., regression, optimization, differential equations) based on problem type and data.
Generate code for algorithms like Monte Carlo simulation, genetic algorithms, or neural networks tailored to the problem.
Create LaTeX templates and structured outlines for final competition papers.
Validate model assumptions and perform sensitivity analysis on key parameters.
Translate modeling results into clear visualizations and actionable conclusions.

Usage Examples

1

/math-modeling-skills Analyze the 2023 MCM Problem C: Predict wordle results using a time series model.

2

/math-modeling-skills Generate a Python script for a multi-objective optimization model to solve a resource allocation problem.

3

/math-modeling-skills Create a LaTeX paper outline for a CUMCM Problem A with sections for introduction, model, results, and conclusion.

View source on GitHub

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Frequently Asked Questions

What is math-modeling-skills?

This skill provides a complete toolchain for mathematical modeling competitions, covering problem analysis, model selection, algorithm implementation, and paper writing. It supports all problem types in both CUMCM (A/B/C) and MCM/ICM (A-F), helping developers efficiently tackle modeling tasks from start to finish.

How to install math-modeling-skills?

To install math-modeling-skills: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/math-modeling-skills.md https://raw.githubusercontent.com/Lupynow/math-modeling-skills/main/SKILL.md. Finally, /math-modeling-skills in Claude Code.

What is math-modeling-skills best for?

math-modeling-skills is a skill categorized under General. Created by Lupynow.

What can I use math-modeling-skills for?

math-modeling-skills is useful for: Analyze a competition problem statement and identify the core mathematical modeling requirements.; Select appropriate models (e.g., regression, optimization, differential equations) based on problem type and data.; Generate code for algorithms like Monte Carlo simulation, genetic algorithms, or neural networks tailored to the problem.; Create LaTeX templates and structured outlines for final competition papers.; Validate model assumptions and perform sensitivity analysis on key parameters.; Translate modeling results into clear visualizations and actionable conclusions..